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BitGo

Quantitative Risk Analyst

Posted 14 Days Ago
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Easy Apply
Remote
Hiring Remotely in India
Mid level
Easy Apply
Remote
Hiring Remotely in India
Mid level
The Quantitative Risk Analyst will develop key risk indicators, automate risk metrics, construct predictive models, and produce executive reports to enhance risk management.
The summary above was generated by AI

BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com.

We are seeking a highly analytical, inquisitive, and data-focused Quantitative Risk Analyst to join the Enterprise Risk Management (ERM) team in Bangalore. This position is suited for an individual capable of transforming complex operational, financial, and technical risk data into actionable insights, reliable predictions, and clearly articulated reports to inform executive leadership decisions. The successful candidate will be responsible for developing Key Risk Indicator (KRI) program, elevating executive-level ERM reporting, and constructing predictive models to enable BitGo to proactively manage emerging risks.

You’ll work closely with Security, Compliance, Product, Engineering, Finance, and other cross‑functional partners. This is a high‑visibility role with real impact.   

Responsibilities: 

  • Design, maintain, and automate enterprise risk metrics (e.g., KRIs, dashboard reporting) across operational, financial, regulatory, and technology domains.
  • Build automated dashboards and monitoring frameworks (Looker, Tableau, Python scripts).
  • Produce monthly and quarterly ERM reporting for executives and Board committees, including heat maps, trend analyses, and control effectiveness insights.
  • Quantify qualitative risk ratings (e.g., converting Low/Medium/High/Critical into measurable, comparable metrics).
  • Develop statistical and simulation-based models (e.g., forecasting, scenario analysis, Monte Carlo, Bayesian methods).
  • Create structured scoring and weighting methodologies to prioritize risks across domains.
  • Identify correlations between KRIs, incidents, qualitative assessments, and external intelligence.
  • Conduct stress testing and scenario analysis for emerging/high‑impact risks.
  • Support risk assessments, RCSAs, issue management, and risk treatment tracking.
  • Collaborate with Security, Product, Engineering, and Compliance teams to understand data flows and strengthen risk monitoring.
  • Use lightweight analytical scripting (Python preferred) to automate data pulls, normalization, and model refreshes.
  • Develop reproducible analytic workflows and maintain model documentation.
  • Support creation of risk dashboards with BI and engineering partners.
  • Perform thematic deep dives on key risk topics (e.g., validator risk, slashing exposures, custody infrastructure risk, cloud outages, regulatory developments).
  • Contribute to audit, regulatory, and Board inquiries related to risk metrics and methodologies.

Required:

  • 2–5 years of experience in quantitative analytics, risk modeling, or data science.
  • Hands-on experience with large-scale data analysis and statistical modeling.
  • Comfort using Python, R, SQL, and data visualization tools (Power BI, Looker, Tableau) for analytical tasks.
  • Strong foundation in statistics, model development, and data-driven decisioning.
  • Experience analyzing complex datasets, building predictive models, and evaluating strategy performance.
  • Ability to collaborate with cross-functional teams and communicate insights clearly.

Preferred:

  • Experience in financial services, underwriting analytics, operational risk, or portfolio strategy.
  • Familiarity with credit risk, loss forecasting, or policyholder modeling.
  • Exposure to XAI models, production model monitoring, or workflow automation.
  • Understanding of crypto, fintech, or emerging tech risk domains.

If you are interested in this opportunity, please apply with your resume and cover letter. We are an equal opportunity employer and welcome all qualified candidates to apply.

Why Join BitGo?

Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world’s financial markets.

Here are some of the benefits of working at BitGo:

  • Competitive salary
  • IT equipment support for work
  • Meal & Commute allowance
  • Medical Insurance
  • Attractive Well-being allowance (comprises of medical, wellness and fitness aspects)
  • Snacks: on-the-house in the Bangalore office
  • Great/Talented workforce to learn and grow with

Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you'll be able to look back and say you were part of the team that transformed investing.

Note: This role requires working onsite (Monday to Friday) at the Bangalore office.

Top Skills

Looker
Power BI
Python
R
SQL
Tableau

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